Type-to-Track: Retrieve Any Object via Prompt-based Tracking Supplementary Appendix 1 Dataset Taxonomy nmsyndefcapretr
–Neural Information Processing Systems
We introduce two new evaluation scenarios cap and retr so that they are more specific on the object level than on the category level. It is because defining objects by category synonyms and category names and definition is insufficient to describe them accurately, leading to ambiguous results. The benchmarking sets can provide more accurate and meaningful evaluations of multiple object retrieval methods by focusing on the object level. We include a comprehensive taxonomy of prompt types used to construct our settings. However, the retr setting on the MOT17 could not be constructed because test annotations for this dataset are unavailable. To construct this setting, bounding boxes will be filtered to the corresponding retrieval prompt when it changes. Section 2 describes how to construct this retrieval prompt .
Neural Information Processing Systems
Apr-24-2026, 14:13:39 GMT
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